Hao Wei

442 total citations
18 papers, 323 citations indexed

About

Hao Wei is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Hao Wei has authored 18 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Control and Systems Engineering and 4 papers in Aerospace Engineering. Recurrent topics in Hao Wei's work include Handwritten Text Recognition Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers) and Machine Fault Diagnosis Techniques (3 papers). Hao Wei is often cited by papers focused on Handwritten Text Recognition Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers) and Machine Fault Diagnosis Techniques (3 papers). Hao Wei collaborates with scholars based in China, Switzerland and Germany. Hao Wei's co-authors include Yu Gu, Rolf Ingold, Rui Chen, Bitao Jiang, Hao Chen, Li Shen, Donghai Xie, Marcus Liwicki, Kai Chen and Qinghua Zhang and has published in prestigious journals such as Sensors, Information Sciences and The International Journal of Robotics Research.

In The Last Decade

Hao Wei

18 papers receiving 315 citations

Peers

Hao Wei
Hao Wei
Citations per year, relative to Hao Wei Hao Wei (= 1×) peers Ying-Nong Chen

Countries citing papers authored by Hao Wei

Since Specialization
Citations

This map shows the geographic impact of Hao Wei's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hao Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Wei more than expected).

Fields of papers citing papers by Hao Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hao Wei. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hao Wei. The network helps show where Hao Wei may publish in the future.

Co-authorship network of co-authors of Hao Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Wei. A scholar is included among the top collaborators of Hao Wei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hao Wei. Hao Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Wei, Hao, Qinghua Zhang, & Yu Gu. (2023). Remaining useful life prediction of bearings based on self-attention mechanism, multi-scale dilated causal convolution, and temporal convolution network. Measurement Science and Technology. 34(4). 45107–45107. 28 indexed citations
6.
Wei, Hao, et al.. (2023). CID-SIMS: Complex indoor dataset with semantic information and multi-sensor data from a ground wheeled robot viewpoint. The International Journal of Robotics Research. 43(7). 899–917. 5 indexed citations
7.
Wei, Hao, et al.. (2022). A Multi-Level Consistency Network for High-Fidelity Virtual Try-On. ACM Transactions on Multimedia Computing Communications and Applications. 19(5). 1–18. 1 indexed citations
8.
Wei, Hao, et al.. (2021). BASNet: A Boundary-Aware Siamese Network for Accurate Remote-Sensing Change Detection. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 11 indexed citations
9.
Shen, Li, Hao Chen, Hao Wei, et al.. (2021). S2Looking: A Satellite Side-Looking Dataset for Building Change Detection. Remote Sensing. 13(24). 5094–5094. 140 indexed citations
10.
11.
Wei, Hao, et al.. (2019). Two-phase Framework for Automatic Kidney and Kidney Tumor Segmentation. University of Minnesota Digital Conservancy (University of Minnesota). 2 indexed citations
12.
Wei, Hao, et al.. (2018). Exploiting lower bounds to accelerate approximate nearest neighbor search on high-dimensional data. Information Sciences. 465. 484–504. 8 indexed citations
13.
Wei, Hao, Mathias Seuret, Kai Chen, et al.. (2015). Selecting Autoencoder Features for Layout Analysis of Historical Documents. KTH Publication Database DiVA (KTH Royal Institute of Technology). 55–62. 12 indexed citations
14.
Wei, Hao, Kai Chen, Rolf Ingold, & Marcus Liwicki. (2014). Hybrid Feature Selection for Historical Document Layout Analysis. 2. 87–92. 16 indexed citations
15.
Chen, Kai, Hao Wei, Jean Hennebert, Rolf Ingold, & Marcus Liwicki. (2014). Page Segmentation for Historical Handwritten Document Images Using Color and Texture Features. ArODES (HES-SO (https://www.hes-so.ch/)). 488–493. 35 indexed citations
16.
Wei, Hao, et al.. (2013). Evaluation of SVM, MLP and GMM Classifiers for Layout Analysis of Historical Documents. 1220–1224. 26 indexed citations
17.
Wei, Hao. (2009). Automatic real-time SVM-based ultrasonic rail flaw detection and classification system. 6 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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